A Generalised Data-Driven Shoreline Model Trained on the South-East Australian Coastline

Kit Calcraft^a, Joshua A. Simmons^b, Lucy A. Marshall^c, Kristen D. Splinter^a

^a Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW, 2093, Australia
^b Association for Josh
^c Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia

Description:
This interactive tool presents the outputs of a generalised shoreline forecasting model developed using satellite-derived shorelines and wave data across the New South Wales coastline. The model, trained on over 7,000 transects, demonstrates the potential of machine learning to provide scalable, long-term coastal change predictions without site-specific calibration.

DOI: XXXX